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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. 7084
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    Explanations

    adjectives ending in '-ing' or related to intensity

    oai_token-act-pair · gpt-3.5-turbo

    references to entities or themes related to identity and belonging

    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
    appropriate
    -0.67
     incon
    -0.67
    yip
    -0.65
     Parables
    -0.64
    jri
    -0.63
    ancial
    -0.62
    hops
    -0.59
    apest
    -0.59
     restitution
    -0.56
    eatures
    -0.55
    POSITIVE LOGITS
    ciating
    1.18
    ĸļ
    0.89
    enment
    0.81
    ãĤ¨ãĥ«
    0.80
    wikipedia
    0.78
    iasm
    0.76
    achment
    0.74
    emies
    0.69
     guiActiveUn
    0.68
    usted
    0.68
    Activations Density 0.079%

    No Known Activations