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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. 1-RES-JB
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    Explanations

    words related to fear or intense emotions

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with intense or unsettling emotions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •layer 1 - fear

    No Comments

    Negative Logits
    ignty
    -0.86
    imore
    -0.83
    iversal
    -0.81
    ire
    -0.81
    orb
    -0.80
    independence
    -0.77
    rup
    -0.77
    erve
    -0.74
    ensing
    -0.74
    nor
    -0.74
    POSITIVE LOGITS
     chilling
    0.89
    VERTISEMENT
    0.86
     voic
    0.74
     volume
    0.74
    Assembly
    0.69
     volumes
    0.69
    æ©
    0.68
     Lies
    0.68
     Mous
    0.67
     chatter
    0.66
    Activations Density 0.023%

    No Known Activations