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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. 15569
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    Explanations

    text related to combining or merging information or technologies

    oai_token-act-pair · gpt-3.5-turbo

    phrases that describe the integration of various elements or information into a cohesive entity

    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
    taker
    -0.70
     confir
    -0.65
    EStream
    -0.60
    KER
    -0.60
    gered
    -0.58
    DEM
    -0.56
    CHECK
    -0.54
    mand
    -0.53
     mercy
    -0.53
    perm
    -0.53
    POSITIVE LOGITS
    into
    0.79
     disparate
    0.77
     into
    0.77
     elements
    0.75
     existing
    0.70
     dots
    0.69
     seamlessly
    0.68
    ictive
    0.67
     onto
    0.65
     concepts
    0.64
    Activations Density 0.550%

    No Known Activations