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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. 23013
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    INDEX
    Explanations

    verbs indicating actions that are mandatory or necessary

    oai_token-act-pair · gpt-3.5-turbo

    statements about future actions or outcomes

    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
    Newsletter
    -0.79
    amped
    -0.69
    licted
    -0.67
    JD
    -0.66
    efeated
    -0.65
    engineering
    -0.65
    Rex
    -0.64
    aina
    -0.64
     Romeo
    -0.64
    reality
    -0.64
    POSITIVE LOGITS
     be
    1.13
     probably
    1.09
     doubtless
    1.08
     gladly
    1.05
     undoubtedly
    1.04
     definitely
    1.01
     surely
    0.99
     eventually
    0.97
     likely
    0.96
     hopefully
    0.95
    Activations Density 0.206%

    No Known Activations