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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. 6-RES-JB
    11. 3519
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    Explanations

    words related to progress or changing state, often focused on negative outcomes

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the verb "get" and its variations in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    velt
    -0.74
    iege
    -0.65
    amiya
    -0.60
     Britann
    -0.60
    ively
    -0.60
     Archdemon
    -0.58
     Examiner
    -0.58
     depiction
    -0.57
     Madness
    -0.57
    orney
    -0.56
    POSITIVE LOGITS
     rid
    1.21
    cloneembedreportprint
    0.93
    tin
    0.87
    ãĥ³ãĤ¸
    0.81
    TING
    0.80
     progressively
    0.78
     underway
    0.77
     sucked
    0.75
    aways
    0.74
    away
    0.74
    Activations Density 0.135%

    No Known Activations