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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. 9-RES-JB
    11. 9963
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    Explanations

    phrases related to the method or manner in which actions are carried out

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating methods or approaches

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oute
    -0.68
    icio
    -0.67
    ua
    -0.66
     bearer
    -0.66
    inently
    -0.65
    usters
    -0.64
    alty
    -0.64
     livest
    -0.64
    igh
    -0.63
    inately
    -0.63
    POSITIVE LOGITS
     shape
    0.85
    ward
    0.70
    ÙĨ
    0.67
     reminiscent
    0.65
     Sabha
    0.65
    fare
    0.65
    finding
    0.65
    NE
    0.65
     Brach
    0.64
    ãĥĩ
    0.64
    Activations Density 0.054%

    No Known Activations