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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. 18557
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    Explanations

    verbs/nouns conveying a lack of significant impact or change

    oai_token-act-pair · gpt-3.5-turbo

    phrases involving negation or the absence of something

    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
    ahime
    -0.97
    ploy
    -0.69
     [|
    -0.68
    gart
    -0.65
    whel
    -0.64
    lyak
    -0.64
     Pengu
    -0.63
    sten
    -0.63
    gee
    -0.63
    hower
    -0.62
    POSITIVE LOGITS
     except
    0.98
    except
    0.86
     besides
    0.70
    Except
    0.68
     transpired
    0.67
     boils
    0.66
     whatsoever
    0.65
     resembling
    0.65
    âĶĢ
    0.63
     spice
    0.63
    Activations Density 0.190%

    No Known Activations