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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. 4283
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    Explanations

    references to recalling specific past events or experiences

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to measurement and estimation of events or objects

    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
     prosecutions
    -0.64
    outhern
    -0.59
     Kore
    -0.55
    ©¶æ¥µ
    -0.54
     politic
    -0.53
     whistleblowers
    -0.53
     psychiatrists
    -0.51
     Trinidad
    -0.51
     pastors
    -0.50
    political
    -0.49
    POSITIVE LOGITS
     or
    0.74
    "))
    0.72
    )).
    0.65
     predetermined
    0.64
    akeru
    0.64
    ?".
    0.62
     etc
    0.62
     \'
    0.61
     XY
    0.58
     âī¡
    0.57
    Activations Density 1.585%

    No Known Activations