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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. 7921
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    Explanations

    phrases related to forceful actions or interventions

    oai_token-act-pair · gpt-3.5-turbo

    instances of forced actions or coercive behavior

    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
    ership
    -0.77
    rium
    -0.73
     Emin
    -0.72
    iste
    -0.69
     Plans
    -0.68
    paragraph
    -0.68
    rug
    -0.67
    rist
    -0.67
    rists
    -0.66
     Solitaire
    -0.65
    POSITIVE LOGITS
     forcefully
    0.85
     overpowered
    0.85
     awoken
    0.81
     unloaded
    0.81
     steril
    0.79
     displaced
    0.79
    avage
    0.79
     contested
    0.75
     bumped
    0.74
     maj
    0.74
    Activations Density 0.010%

    No Known Activations