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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. 3-RES-JB
    11. 4248
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    Explanations

    words related to approval, judgment, or evaluation of certain actions or behaviors

    oai_token-act-pair · gpt-3.5-turbo

    gerunds or participles, particularly those ending in 'ing' and 'ed'

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ©¶æ
    -0.93
    etheless
    -0.84
    ood
    -0.75
    ·
    -0.72
    cknow
    -0.70
     gobl
    -0.68
    log
    -0.66
    padding
    -0.66
    talk
    -0.66
    pton
    -0.66
    POSITIVE LOGITS
    iting
    0.86
    oga
    0.79
    ited
    0.76
    FIELD
    0.75
     Jupiter
    0.72
    UGE
    0.72
     Plays
    0.72
    aukee
    0.70
    itations
    0.68
    ilver
    0.67
    Activations Density 0.016%

    No Known Activations