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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. 10-RES-JB
    11. 7969
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    Explanations

    verbs indicating continuous action or ongoing state

    oai_token-act-pair · gpt-3.5-turbo

    verbs and actions related to processes of change or transformation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ftime
    -0.65
    nai
    -0.65
    ãĥĦ
    -0.58
    atic
    -0.54
    zai
    -0.53
    ensis
    -0.51
    hua
    -0.50
    workshop
    -0.49
    isin
    -0.49
     Accessed
    -0.48
    POSITIVE LOGITS
     them
    2.67
     THEM
    2.11
    them
    2.07
     Them
    1.82
     ones
    1.45
     theirs
    1.40
    they
    1.12
     those
    1.12
     these
    1.10
    They
    1.06
    Activations Density 1.559%

    No Known Activations