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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. 2-RES-JB
    11. 21286
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    Explanations

    terms related to things being recognizable or identifiable

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of recognition or recognizability

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    stra
    -0.70
    ithmetic
    -0.69
    romy
    -0.69
    ocket
    -0.68
    bard
    -0.68
    rology
    -0.67
    apter
    -0.67
    rolog
    -0.66
    rocal
    -0.66
    udic
    -0.66
    POSITIVE LOGITS
     recognizable
    1.08
     resemblance
    0.94
     likeness
    0.86
     resemb
    0.85
     landmarks
    0.80
     detectable
    0.77
     noticeable
    0.77
    isable
    0.74
     Appearance
    0.73
     distinctive
    0.73
    Activations Density 0.034%

    No Known Activations