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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. 7-RES-JB
    11. 3498
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    Explanations

    phrases related to scrutiny and evaluation of various subjects

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "hold up" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enfranch
    -0.70
    viously
    -0.67
     kHz
    -0.66
    CRE
    -0.65
    FH
    -0.64
    ~~~~~~~~
    -0.63
    Depth
    -0.63
     Fan
    -0.62
     alloc
    -0.62
    inventoryQuantity
    -0.62
    POSITIVE LOGITS
    river
    0.75
    apor
    0.68
     scissors
    0.67
    agra
    0.65
    ris
    0.64
     walls
    0.63
    ansas
    0.62
    rights
    0.61
    anish
    0.61
    ĸļ
    0.61
    Activations Density 0.026%

    No Known Activations