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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. 6-RES-JB
    11. 17700
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    INDEX
    Explanations

    proper nouns, such as names and brands

    oai_token-act-pair · gpt-3.5-turbo

    specific brand or product names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     âĵĺ
    -0.82
     Leilan
    -0.81
    £ı
    -0.77
    etheless
    -0.74
    ģĸ
    -0.72
    )=(
    -0.67
     Vald
    -0.65
     forestry
    -0.63
     dispatch
    -0.63
     DISTR
    -0.63
    POSITIVE LOGITS
    ussian
    0.94
    uggle
    0.85
    ollywood
    0.83
    agra
    0.83
    zac
    0.80
    OOOO
    0.78
    akespe
    0.76
    andon
    0.76
    Ps
    0.76
    appy
    0.75
    Activations Density 0.535%

    No Known Activations