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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. 6-RES-JB
    11. 9774
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    Explanations

    places and settings

    oai_token-act-pair · gpt-3.5-turbo

    dialogue and invitations in social contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    imus
    -0.83
     interfered
    -0.76
    emort
    -0.74
    ensor
    -0.73
    enson
    -0.72
    ħĭ
    -0.70
     Secondly
    -0.69
    Fact
    -0.68
    Sexual
    -0.68
    omal
    -0.65
    POSITIVE LOGITS
     towering
    0.97
     perched
    0.96
     dusty
    0.93
     bustling
    0.92
     café
    0.91
     crammed
    0.89
     caf
    0.89
     sprawling
    0.87
     tucked
    0.83
     cafes
    0.83
    Activations Density 0.791%

    No Known Activations