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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
    11. 13476
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    Explanations

    words related to mounting or installation

    oai_token-act-pair · gpt-3.5-turbo

    terms related to mounting equipment or structures

    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
    Chicken
    -0.68
    gone
    -0.66
    à¦
    -0.66
    nesota
    -0.65
    Ô
    -0.64
    strings
    -0.64
    íķ
    -0.63
    cod
    -0.63
     Sharia
    -0.62
    period
    -0.62
    POSITIVE LOGITS
    mounted
    1.09
    mount
    1.08
     mounted
    1.01
     mount
    0.96
    aint
    0.94
     mounts
    0.87
     mounting
    0.80
    Mount
    0.79
    raint
    0.79
    heny
    0.78
    Activations Density 0.009%

    No Known Activations