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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. 6-RES-JB
    11. 544
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    Explanations

    references to educational institutions or the act of attending school

    oai_token-act-pair · gpt-3.5-turbo

    references to school-related experiences or contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    TN
    -0.70
     Dominion
    -0.69
    ourke
    -0.66
     genus
    -0.66
    Domin
    -0.65
     Bundy
    -0.65
    OPLE
    -0.63
    ioxide
    -0.61
    ACTED
    -0.60
     claimant
    -0.60
    POSITIVE LOGITS
    girls
    1.18
    kids
    1.14
    children
    1.06
    boy
    1.04
    boys
    1.02
    girl
    0.99
    mates
    0.93
    masters
    0.91
    friends
    0.86
    work
    0.85
    Activations Density 0.036%

    No Known Activations