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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. 14650
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    Explanations

    mentions of ideal or perfection

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to ideals and idealism

    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
    bane
    -0.83
    words
    -0.73
    ker
    -0.70
    cloth
    -0.69
    cano
    -0.66
    SEE
    -0.66
    hani
    -0.66
    issues
    -0.65
    berries
    -0.65
    manship
    -0.64
    POSITIVE LOGITS
    istic
    1.26
    istically
    1.23
    ized
    0.97
    imates
    0.93
    imum
    0.86
    ization
    0.86
    ised
    0.83
    istical
    0.80
     embodiment
    0.80
    imately
    0.79
    Activations Density 0.026%

    No Known Activations