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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. 4405
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    Explanations

    phrases or words related to specific commands

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases that convey a sense of activity or liveliness

    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
    obyl
    -0.93
    ichick
    -0.84
    acea
    -0.79
    atural
    -0.76
    anes
    -0.73
    channelAvailability
    -0.69
    é¾įå
    -0.68
     Leilan
    -0.67
    andise
    -0.67
    ained
    -0.66
    POSITIVE LOGITS
    reth
    0.90
    rics
    0.78
    rers
    0.72
    ãĥ£
    0.70
    llor
    0.70
    hered
    0.69
    ttes
    0.67
    tta
    0.66
    ressive
    0.66
    tsky
    0.64
    Activations Density 0.042%

    No Known Activations