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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
    11. 2248
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    Explanations

    words related to physical movement or motion

    oai_token-act-pair · gpt-3.5-turbo

    mentions of locomotion and compatibility terms

    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
    Not in Any Lists

    No Comments

    Negative Logits
    STD
    -0.81
    IFIED
    -0.80
    edIn
    -0.80
    GGGGGGGG
    -0.79
    REDACTED
    -0.79
    velength
    -0.75
    lander
    -0.73
     Archdemon
    -0.72
    ADE
    -0.72
    Guest
    -0.71
    POSITIVE LOGITS
    orical
    0.96
    izoph
    0.94
    Ħ
    0.92
    orial
    0.91
    »
    0.90
    otive
    0.86
     locom
    0.84
    igious
    0.80
     nont
    0.80
    orship
    0.80
    Activations Density 0.025%

    No Known Activations