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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. 9834
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    Explanations

    mentions or representations of signs or signals

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate signs or signals of various phenomena

    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
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    No Comments

    Negative Logits
    ĸļ
    -0.76
    ategory
    -0.70
    ecause
    -0.69
    ETHOD
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     Remastered
    -0.65
     Layer
    -0.64
    amily
    -0.64
    »Ĵ
    -0.63
    iband
    -0.63
     DRAG
    -0.63
    POSITIVE LOGITS
    atories
    1.33
    posts
    1.22
    atory
    1.08
    ifier
    1.06
    ifiers
    1.05
    ifying
    1.01
    post
    0.99
    posted
    0.98
    boards
    0.94
    orial
    0.93
    Activations Density 0.026%

    No Known Activations