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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. 6-RES-JB
    11. 9385
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    INDEX
    Explanations

    phrases related to observations or experiences

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the phrase "take in"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    =]
    -0.80
    buster
    -0.63
    cia
    -0.62
    hler
    -0.62
    edly
    -0.59
    bia
    -0.58
    baugh
    -0.58
    lar
    -0.57
    FK
    -0.57
    ior
    -0.56
    POSITIVE LOGITS
    ordinate
    0.95
     totality
    0.73
    patient
    0.71
    animate
    0.69
    effic
    0.68
    ä¼
    0.68
     solitude
    0.67
    */(
    0.67
     lieu
    0.67
    umerable
    0.66
    Activations Density 0.078%

    No Known Activations