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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. 9-RES-JB
    11. 7546
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    Explanations

    events or periods of time

    oai_token-act-pair · gpt-3.5-turbo

    historical events and timelines

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OUND
    -0.61
    cause
    -0.61
    $.
    -0.61
    NOW
    -0.60
    ":"/
    -0.60
    soType
    -0.58
     rightful
    -0.58
     endif
    -0.58
    rather
    -0.55
    },"
    -0.54
    POSITIVE LOGITS
     there
    0.92
     we
    0.83
     they
    0.79
    ,
    0.70
    there
    0.70
     he
    0.69
     she
    0.66
     it
    0.64
     nobody
    0.58
     you
    0.57
    Activations Density 0.499%

    No Known Activations