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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. 6890
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    Explanations

    interviews or conversations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "spoke" in various contexts

    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
    rypt
    -0.72
    reci
    -0.69
    inner
    -0.69
    anny
    -0.68
    adjusted
    -0.65
    1600
    -0.65
     Ryder
    -0.64
    allows
    -0.63
    ritional
    -0.60
    fal
    -0.60
    POSITIVE LOGITS
     Cosponsors
    0.87
     voic
    0.80
     aloud
    0.74
     mute
    0.73
     artic
    0.71
     extensively
    0.71
     transcripts
    0.71
     harshly
    0.71
     spoken
    0.71
     UID
    0.70
    Activations Density 0.025%

    No Known Activations