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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. 7710
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    Explanations

    years or time periods

    oai_token-act-pair · gpt-3.5-turbo

    specific years and time periods referenced in the text

    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
    ACTION
    -0.76
    ITION
    -0.66
    Stars
    -0.66
    æĪ¦
    -0.64
    SET
    -0.64
    Adapt
    -0.63
    Psy
    -0.60
    Administ
    -0.59
    FACE
    -0.58
     subscript
    -0.58
    POSITIVE LOGITS
     onwards
    1.53
     onward
    1.13
    ratch
    0.90
     standpoint
    0.77
     inception
    0.74
    orest
    0.72
    ussen
    0.68
     outset
    0.66
     perspectives
    0.66
     perspective
    0.66
    Activations Density 0.069%

    No Known Activations