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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. 4-RES-JB
    11. 18467
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    Explanations

    references to a company or a group with the abbreviation "ME"

    oai_token-act-pair · gpt-3.5-turbo

    references to the acronym "ME" in various contexts

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

    No Comments

    Negative Logits
    rolet
    -0.86
    inating
    -0.82
    nic
    -0.78
    inates
    -0.76
    risis
    -0.76
    oise
    -0.76
    istics
    -0.74
    iary
    -0.74
    lon
    -0.73
    ulation
    -0.73
    POSITIVE LOGITS
    ISTER
    1.04
    LL
    0.93
    ACH
    0.87
    ABLE
    0.85
    OME
    0.85
    ENSE
    0.84
    VEN
    0.83
    ME
    0.81
    JO
    0.81
    FU
    0.81
    Activations Density 0.007%

    No Known Activations