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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. 4-RES-JB
    11. 10821
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    Explanations

    terms related to the concept of recording information or data

    oai_token-act-pair · gpt-3.5-turbo

    the occurrences of the prefix "rec" in various forms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Tasman
    -0.79
    ahime
    -0.69
     sting
    -0.69
     Kenyan
    -0.68
    glers
    -0.66
    holes
    -0.66
     Thames
    -0.66
    hunt
    -0.65
    Magikarp
    -0.64
     Welsh
    -0.64
    POSITIVE LOGITS
    ipes
    1.20
    ycle
    1.10
    ourses
    1.07
    ords
    1.06
    oded
    1.03
    ursive
    1.02
    ipient
    0.99
    reating
    0.97
    ourse
    0.97
    ruits
    0.97
    Activations Density 0.008%

    No Known Activations