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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. 3275
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    Explanations

    qualities or characteristics related to various subjects

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with qualities and characteristics

    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
    NAS
    -0.76
    annis
    -0.71
    dos
    -0.68
    ICE
    -0.66
    GS
    -0.66
     ATL
    -0.64
    DO
    -0.64
    aii
    -0.63
    bus
    -0.63
     BUS
    -0.62
    POSITIVE LOGITS
     qualities
    0.93
     traits
    0.88
    mith
    0.84
    pring
    0.83
     characteristics
    0.82
     merits
    0.80
    omething
    0.80
    wcsstore
    0.78
     predis
    0.76
     talents
    0.76
    Activations Density 0.025%

    No Known Activations