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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. 4-RES-JB
    11. 15544
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    oai_token-act-pair · gpt-3.5-turbo

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

    No Comments

    Negative Logits
     Atmosp
    -0.83
     Icar
    -0.74
    minster
    -0.72
    ight
    -0.70
    VERTISEMENT
    -0.68
    ock
    -0.68
     Bom
    -0.67
    mania
    -0.65
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    -0.65
     TBA
    -0.64
    POSITIVE LOGITS
     compliance
    1.05
     unanim
    0.95
     adherence
    0.91
     confir
    0.91
    enei
    0.89
     conformity
    0.88
     exempted
    0.86
     compel
    0.82
     exempt
    0.81
     restraints
    0.81
    Activations Density 0.049%

    No Known Activations