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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. 9553
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    INDEX
    Explanations

    verbs indicating potential future events

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing inevitability or potential future events

    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
    rador
    -0.79
    ilts
    -0.73
    stra
    -0.72
    edged
    -0.72
    cius
    -0.71
    mens
    -0.68
    otto
    -0.65
    oyal
    -0.65
    ondo
    -0.65
    rete
    -0.64
    POSITIVE LOGITS
    uate
    0.93
    NetMessage
    0.73
     happen
    0.71
    uates
    0.71
     anywhere
    0.70
     unfold
    0.70
    rences
    0.69
    uating
    0.68
     anytime
    0.67
     happening
    0.67
    Activations Density 0.041%

    No Known Activations