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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. 1-RES-JB
    11. 7992
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    Explanations

    words related to unfortunate events such as disasters or trauma

    oai_token-act-pair · gpt-3.5-turbo

    instances and discussions about survivors of various tragic events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    brow
    -0.75
    aminer
    -0.72
    urb
    -0.71
    Ķ
    -0.69
    ris
    -0.69
    appa
    -0.65
    ono
    -0.64
    rient
    -0.64
    lay
    -0.64
    eanor
    -0.63
    POSITIVE LOGITS
     Survivors
    1.36
     survivors
    1.31
     survivor
    1.06
     Survivor
    1.03
     Survive
    0.97
     Surviv
    0.97
    Surv
    0.91
     Victims
    0.86
     Surv
    0.83
     victims
    0.82
    Activations Density 0.007%

    No Known Activations