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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 2961
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    Explanations

    specific mentions of events or experiences, particularly related to personal experiences and actions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the first-person pronoun "I" and related expressions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ..............
    -0.73
    advertisement
    -0.66
     =================================
    -0.66
    ector
    -0.66
    nels
    -0.66
    detail
    -0.65
     ILCS
    -0.64
     ASAP
    -0.64
    ĺħ
    -0.63
    redients
    -0.63
    POSITIVE LOGITS
     encount
    0.86
     interacted
    0.86
    've
    0.83
     wished
    0.79
     dealt
    0.79
     revisit
    0.78
     talked
    0.77
     ventured
    0.77
     visited
    0.77
     spent
    0.76
    Activations Density 0.194%

    No Known Activations