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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. 4-RES-JB
    11. 15775
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    Explanations

    verbal actions or consequences

    oai_token-act-pair · gpt-3.5-turbo

    present tense and past tense verbs indicating actions or states

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

    No Comments

    Negative Logits
    purpose
    -0.66
     tandem
    -0.60
     domest
    -0.59
     pursu
    -0.58
     Vald
    -0.54
     Joh
    -0.54
    enger
    -0.53
     Cyr
    -0.52
     Mud
    -0.52
     Naj
    -0.51
    POSITIVE LOGITS
    senal
    0.84
    Ĥİ
    0.78
    ŃĶ
    0.68
     nevertheless
    0.67
    rael
    0.65
    zac
    0.63
    ushima
    0.62
    ¿½
    0.61
     nonetheless
    0.61
    orio
    0.61
    Activations Density 0.891%

    No Known Activations