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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. 7-RES-JB
    11. 11437
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    Explanations

    words related to being filled with or characterized by something, often negative in nature

    oai_token-act-pair · gpt-3.5-turbo

    terms related to themes of struggle or problems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hal
    -0.82
    tein
    -0.78
    ift
    -0.72
    NOR
    -0.68
     srfAttach
    -0.68
    oto
    -0.61
    */(
    -0.60
    lift
    -0.59
    isations
    -0.59
    ETA
    -0.59
    POSITIVE LOGITS
    entimes
    0.76
    icative
    0.74
    icating
    0.69
    vier
    0.66
    gling
    0.65
    lete
    0.65
    arre
    0.65
    igious
    0.65
     inbox
    0.65
    arella
    0.64
    Activations Density 0.095%

    No Known Activations