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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. 19526
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    Explanations

    phrases describing actions or events happening with a certain level of impact or significance

    oai_token-act-pair · gpt-3.5-turbo

    frequent uses of the verb "to be" and its variations in different contexts

    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
    ced
    -0.70
    rongh
    -0.69
    hatt
    -0.66
    dds
    -0.66
     Citizen
    -0.65
    aint
    -0.65
    chet
    -0.64
     Solution
    -0.64
    ucket
    -0.64
    lex
    -0.63
    POSITIVE LOGITS
     incidentally
    1.00
     admittedly
    0.83
     aggreg
    0.72
    ulo
    0.72
     comprised
    0.71
     essentially
    0.70
     presumably
    0.70
     hereafter
    0.69
     largely
    0.69
     overseen
    0.69
    Activations Density 0.280%

    No Known Activations