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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. 15596
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    Explanations

    phrases expressing expectation or assumption

    oai_token-act-pair · gpt-3.5-turbo

    expressions of expectation or belief

    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
    fried
    -0.75
    unker
    -0.74
    personal
    -0.72
    ighting
    -0.67
    truth
    -0.67
    çĦ
    -0.65
    disc
    -0.65
    CSS
    -0.64
    dial
    -0.64
    HTML
    -0.63
    POSITIVE LOGITS
    gat
    0.76
    owan
    0.72
    enance
    0.68
     eyebrow
    0.65
     forgiven
    0.65
     logically
    0.64
     abrupt
    0.63
    OULD
    0.62
    FontSize
    0.62
     Moreno
    0.62
    Activations Density 0.064%

    No Known Activations