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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. 7-RES-JB
    11. 4033
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    Explanations

    comparisons indicating degree or status, such as "smaller," "lesser," and "lowest."

    oai_token-act-pair · gpt-3.5-turbo

    terms related to comparative size or value, particularly indicating inferiority

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NM
    -0.83
    cru
    -0.77
    rs
    -0.76
    RA
    -0.69
    NH
    -0.69
    rex
    -0.69
    aint
    -0.68
    Ca
    -0.66
    nl
    -0.65
    CRE
    -0.65
    POSITIVE LOGITS
     fractions
    0.86
     (<
    0.83
    ipop
    0.78
     than
    0.75
     minded
    0.75
     halves
    0.73
    case
    0.73
    folk
    0.72
    entary
    0.72
     sized
    0.71
    Activations Density 0.071%

    No Known Activations