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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. 1-RES-JB
    11. 5668
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    Explanations

    phrases related to shooting or taking photographs

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "shot" and "snapshot" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    accompanied
    -0.75
    ŃĶ
    -0.71
    norm
    -0.66
    Downloadha
    -0.62
     livest
    -0.61
    antle
    -0.59
    occ
    -0.59
     refriger
    -0.58
     grade
    -0.58
    aud
    -0.58
    POSITIVE LOGITS
    shot
    1.34
    shots
    1.02
    gun
    1.00
    Shot
    0.86
     revolver
    0.86
    guns
    0.85
    nikov
    0.83
     Shot
    0.81
     Shots
    0.74
    eers
    0.72
    Activations Density 0.005%

    No Known Activations