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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. 3452
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    INDEX
    Explanations

    actions or potential impacts related to specific scenarios

    oai_token-act-pair · gpt-3.5-turbo

    causal relationships or factors influencing outcomes

    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
    athy
    -0.68
    arij
    -0.67
    escription
    -0.66
    rike
    -0.63
    idav
    -0.62
    Tal
    -0.61
    nikov
    -0.61
    isks
    -0.60
    ennett
    -0.59
    istor
    -0.59
    POSITIVE LOGITS
     incidentally
    1.10
    upon
    0.77
     presumably
    0.76
     hereafter
    0.76
     admittedly
    0.75
     subsequently
    0.75
     include
    0.74
     respectively
    0.74
     included
    0.71
     euphem
    0.71
    Activations Density 0.451%

    No Known Activations