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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. 11-RES-JB
    11. 1312
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    Explanations

    phrases related to discarding or getting rid of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to letting go or moving on from past experiences or situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    amen
    -0.83
    enery
    -0.74
    ciation
    -0.73
    orthy
    -0.72
    augh
    -0.72
    Reviewer
    -0.71
    eway
    -0.70
    assian
    -0.70
    NN
    -0.67
    CB
    -0.67
    POSITIVE LOGITS
     precon
    1.10
     reliance
    1.09
     outdated
    1.03
     clich
    1.02
     conventional
    0.99
     relying
    0.98
     worrying
    0.98
     stale
    0.97
     traditional
    0.96
     dependence
    0.94
    Activations Density 0.313%

    No Known Activations