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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. 1409
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    Explanations

    verbs that imply action, productivity, or change

    oai_token-act-pair · gpt-3.5-turbo

    terms and phrases related to processes, actions, and attributes 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
    stellar
    -0.84
    FUL
    -0.83
    Ô
    -0.80
    imental
    -0.72
    landish
    -0.71
    iterranean
    -0.66
    bush
    -0.66
    £ı
    -0.66
    é¾įå
    -0.66
    thodox
    -0.65
    POSITIVE LOGITS
    glers
    1.00
    iencies
    0.91
    arers
    0.88
    akers
    0.86
    istries
    0.84
    icion
    0.83
    akings
    0.82
    ancies
    0.82
    rors
    0.82
    appings
    0.81
    Activations Density 0.336%

    No Known Activations