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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. 4-RES-JB
    11. 4141
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    Explanations

    tidbits of information

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to snippets of information or tidbits

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

    No Comments

    Negative Logits
    anwhile
    -0.74
    aeda
    -0.63
    HAEL
    -0.63
    heid
    -0.62
    artney
    -0.60
     Formation
    -0.59
    PRES
    -0.58
    ologne
    -0.58
    entanyl
    -0.58
    sein
    -0.57
    POSITIVE LOGITS
    bits
    1.07
     tid
    1.04
    iest
    0.98
    istically
    0.96
    itious
    0.95
    iness
    0.93
    eteen
    0.93
    ewater
    0.92
    \\\\\\\\
    0.91
    ily
    0.91
    Activations Density 0.012%

    No Known Activations