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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. 9-RES-JB
    11. 1397
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    Explanations

    words related to medical conditions but with a focus on heart-related issues

    oai_token-act-pair · gpt-3.5-turbo

    the presence of the letter 'e' in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    s
    -0.86
    lime
    -0.86
    rooms
    -0.68
    d
    -0.68
    n
    -0.68
    NESS
    -0.67
    iets
    -0.67
    ãĥ´ãĤ¡
    -0.67
    dor
    -0.66
    nets
    -0.66
    POSITIVE LOGITS
    lements
    1.27
    cki
    1.23
    gger
    1.18
    cker
    1.11
    agle
    1.11
    chnology
    1.10
    agles
    1.10
    velop
    1.09
    astern
    1.07
    ck
    1.07
    Activations Density 0.053%

    No Known Activations