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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. 7231
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    INDEX
    Explanations

    adjectives relating to minimalism or efficiency

    oai_token-act-pair · gpt-3.5-turbo

    references to minimalism and minimal amounts

    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
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    No Comments

    Negative Logits
    ravings
    -0.76
    spr
    -0.72
    Report
    -0.70
    masters
    -0.67
    swick
    -0.67
    saw
    -0.67
    iership
    -0.67
    Phill
    -0.66
    CHQ
    -0.65
    lyn
    -0.64
    POSITIVE LOGITS
    etheless
    1.04
    istic
    0.99
     amount
    0.94
    istically
    0.91
    ism
    0.88
     amounts
    0.88
    ocre
    0.88
    imal
    0.84
    icum
    0.83
     effort
    0.82
    Activations Density 0.010%

    No Known Activations