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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. 8-RES-JB
    11. 4998
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    Explanations

    dates and months

    oai_token-act-pair · gpt-3.5-turbo

    specific years and months, primarily focusing on dates and chronological references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    )).
    -0.51
    ©¶æ
    -0.49
    )."
    -0.47
    ]."
    -0.47
    ]).
    -0.45
     Pearce
    -0.43
    '."
    -0.43
    ?".
    -0.43
    Thompson
    -0.40
    !".
    -0.40
    POSITIVE LOGITS
    ascar
    0.38
    odore
    0.37
    ':
    0.36
     stere
    0.35
     autop
    0.34
    uchin
    0.34
    olina
    0.33
    zu
    0.33
    ife
    0.33
    izont
    0.33
    Activations Density 4.453%

    No Known Activations