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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. 2-RES-JB
    11. 14486
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to legal actions related to content removal, particularly "takedown" notices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Cola
    -0.73
    pring
    -0.72
    van
    -0.68
    Ear
    -0.66
    bon
    -0.66
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    -0.65
    present
    -0.65
    league
    -0.64
    Earth
    -0.64
    arity
    -0.63
    POSITIVE LOGITS
     takedown
    1.35
     notices
    0.94
    akedown
    0.86
    umbnails
    0.84
     inhibitor
    0.84
     inhibitors
    0.81
     inhibition
    0.79
     knockout
    0.77
     choke
    0.77
     blockade
    0.76
    Activations Density 0.010%

    No Known Activations