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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. 0-RES-JB
    11. 9712
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    Explanations

    numbers and units of measurement

    oai_token-act-pair · gpt-3.5-turbo

    the presence of specific characters or names related to cultural references or locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Passive
    -0.71
     passive
    -0.66
     Alph
    -0.65
     drinks
    -0.60
     level
    -0.60
     Mutant
    -0.60
     Blacks
    -0.59
     Member
    -0.59
     Narr
    -0.59
     inputs
    -0.58
    POSITIVE LOGITS
    oche
    5.09
    ochet
    2.37
    oux
    1.57
    oc
    1.25
    anche
    1.10
    arte
    1.10
    oup
    1.08
    agar
    1.08
    steen
    1.06
    oco
    1.00
    Activations Density 0.037%

    No Known Activations