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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. 11154
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    Explanations

    words related to positive attributes, potentially related to enhancement or excellence

    oai_token-act-pair · gpt-3.5-turbo

    terms related to entities or characteristics associated with specific genres or categories

    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
    udeb
    -0.88
    mbuds
    -0.85
    AMS
    -0.76
    soDeliveryDate
    -0.69
    MAR
    -0.66
    BIP
    -0.66
    olkien
    -0.65
    uberty
    -0.64
    berman
    -0.64
    OWS
    -0.63
    POSITIVE LOGITS
    ient
    1.35
    ial
    1.18
    ially
    1.17
    iency
    0.89
    oad
    0.86
    ien
    0.85
    estial
    0.83
    ious
    0.83
    ients
    0.83
    eers
    0.81
    Activations Density 0.012%

    No Known Activations