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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. 9-RES-JB
    11. 20118
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    Explanations

    phrases indicating whether something is beneficial or harmful to specific entities

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate something being beneficial or harmful

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sequent
    -0.77
    aults
    -0.76
    sequently
    -0.76
    ufficient
    -0.74
    aque
    -0.74
    cles
    -0.72
    provided
    -0.72
    ault
    -0.71
    native
    -0.70
    aram
    -0.70
    POSITIVE LOGITS
     morale
    1.08
     everybody
    1.00
     us
    0.94
     mankind
    0.92
     everyone
    0.89
     humankind
    0.89
     them
    0.88
     humanity
    0.87
     him
    0.84
     efficiency
    0.84
    Activations Density 0.140%

    No Known Activations