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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. 3-RES-JB
    11. 8327
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to agreement or cooperation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     pitted
    -0.65
    inction
    -0.61
    BILITIES
    -0.60
    NAS
    -0.59
    olute
    -0.58
     suppose
    -0.58
     deductible
    -0.57
    ilies
    -0.57
    ns
    -0.57
    null
    -0.56
    POSITIVE LOGITS
    wagon
    0.74
    erous
    0.73
    side
    0.69
     Paso
    0.69
    along
    0.67
    ocobo
    0.66
    agons
    0.66
    agon
    0.65
    apeake
    0.63
    atform
    0.62
    Activations Density 0.019%

    No Known Activations