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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. 14582
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    Explanations

    phrases that involve considering or including something in a calculation or decision

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to considering or evaluating factors in a context

    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
    quer
    -0.76
    sil
    -0.74
    Xi
    -0.72
    Constructed
    -0.70
    si
    -0.69
    Code
    -0.67
    heres
    -0.67
    edition
    -0.66
     Bees
    -0.66
    pi
    -0.65
    POSITIVE LOGITS
    enance
    0.99
     Dame
    0.75
     factors
    0.74
     considerations
    0.73
     deductions
    0.73
    ancy
    0.73
     criteria
    0.71
     caveats
    0.70
    agher
    0.68
    agall
    0.68
    Activations Density 0.015%

    No Known Activations