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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. 5183
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    INDEX
    Explanations

    mentions of the word "fallout" in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to fallout and its consequences

    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
    jun
    -0.78
     affirmative
    -0.75
     Hegel
    -0.74
     Hak
    -0.72
     Ellison
    -0.72
     Carlson
    -0.71
    Sel
    -0.70
     Jae
    -0.70
     Krish
    -0.70
     Alonso
    -0.70
    POSITIVE LOGITS
     Fallout
    2.60
     fallout
    2.53
     Vault
    2.43
     Bethesda
    1.87
    Fall
    1.76
     Wasteland
    1.69
    hesda
    1.64
     wasteland
    1.64
     vault
    1.58
     Pip
    1.35
    Activations Density 0.062%

    No Known Activations