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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. 4-RES-JB
    11. 12158
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    INDEX
    Explanations

    phrases related to actions or processes

    oai_token-act-pair · gpt-3.5-turbo

    phrases that initiate purpose or intention

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

    No Comments

    Negative Logits
    nces
    -0.58
     Expand
    -0.48
    idav
    -0.45
    berman
    -0.45
    aily
    -0.44
    pard
    -0.44
    lish
    -0.43
     spoilers
    -0.42
     Emails
    -0.42
     Pwr
    -0.42
    POSITIVE LOGITS
     preceding
    0.49
     respective
    0.48
     guise
    0.47
     vicinity
    0.46
     specified
    0.45
     mosqu
    0.45
     inaugural
    0.44
     foreseeable
    0.43
     nearby
    0.43
     frequ
    0.42
    Activations Density 2.345%

    No Known Activations