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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. 5058
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    Explanations

    words related to assumptions or beliefs being made

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to assumptions or beliefs about situations

    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
    alid
    -0.87
    antha
    -0.86
    olog
    -0.82
    essa
    -0.82
    riad
    -0.80
    oho
    -0.78
    otes
    -0.76
    erry
    -0.73
    agar
    -0.73
    anas
    -0.71
    POSITIVE LOGITS
    ãĥ´ãĤ¡
    1.02
    \\\\
    0.92
    ãĤ§
    0.85
    Ùħ
    0.83
     enshr
    0.82
    ãĤ¤
    0.78
    Ô
    0.78
    cipled
    0.78
     presumptive
    0.75
    puter
    0.74
    Activations Density 0.020%

    No Known Activations