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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. 20252
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    INDEX
    Explanations

    mentions of specific names or factual details, like "Mam" or "Trin"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of prominent individuals, particularly politicians

    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
    kson
    -0.66
    ä½ľ
    -0.65
     poker
    -0.65
     cutoff
    -0.62
    IDER
    -0.62
     drug
    -0.62
    RAFT
    -0.61
     Syd
    -0.61
     Falk
    -0.61
     trough
    -0.59
    POSITIVE LOGITS
     Mam
    1.10
    amia
    1.02
    aj
    0.97
    amas
    0.93
    umin
    0.92
    aret
    0.89
    uz
    0.88
    my
    0.88
    oru
    0.87
    oufl
    0.85
    Activations Density 0.012%

    No Known Activations