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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. 3-RES-JB
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    Explanations

    mentions of the name "Gore"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Al Gore and his political context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    akedown
    -0.91
    Constructed
    -0.77
    ologically
    -0.70
    riage
    -0.70
    ivity
    -0.69
    Else
    -0.68
    ologies
    -0.68
    istically
    -0.64
    ively
    -0.64
    olog
    -0.63
    POSITIVE LOGITS
    byss
    1.24
    pedia
    0.86
    vine
    0.86
    stein
    0.81
    hound
    0.78
    nell
    0.76
    boro
    0.74
     Gore
    0.74
    bite
    0.74
    bage
    0.73
    Activations Density 0.007%

    No Known Activations