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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. 7-RES-JB
    11. 3512
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    Explanations

    verbs related to physical actions or movements

    oai_token-act-pair · gpt-3.5-turbo

    actions and activities related to various subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    por
    -0.66
    ibel
    -0.66
    holders
    -0.64
    involved
    -0.63
    allows
    -0.60
    itus
    -0.60
    idental
    -0.59
    Secondly
    -0.58
     [+]
    -0.58
     attributable
    -0.58
    POSITIVE LOGITS
    nesday
    1.02
     extensively
    0.93
     unsuccessfully
    0.90
     tirelessly
    0.79
     faithfully
    0.78
    00200000
    0.76
     valiant
    0.75
     tremend
    0.75
     diligently
    0.73
     ashore
    0.71
    Activations Density 0.269%

    No Known Activations