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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. 12159
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    Explanations

    expressions of preference or choice

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing preferences or choices

    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
    LINE
    -0.74
    RANT
    -0.72
    fman
    -0.66
    OUNT
    -0.61
    ftime
    -0.60
     doorstep
    -0.60
    REF
    -0.60
    CCC
    -0.58
     inciting
    -0.56
     endemic
    -0.56
    POSITIVE LOGITS
    than
    0.81
    ardless
    0.74
     seiz
    0.72
    asty
    0.71
    ahime
    0.70
     than
    0.70
    osaurus
    0.69
     "$:/
    0.67
    anke
    0.66
    ugi
    0.65
    Activations Density 0.113%

    No Known Activations